Intra-breath arterial oxygen oscillations detected by a fast oxygen sensor in an animal model of acute respiratory distress syndrome
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
095759
Wellcome Trust - United Kingdom
II-AR-0410-12031
Department of Health - United Kingdom
II-LA-0214-20006
Department of Health - United Kingdom
PubMed
25631471
PubMed Central
PMC4364062
DOI
10.1093/bja/aeu407
PII: S0007-0912(17)31683-5
Knihovny.cz E-zdroje
- Klíčová slova
- acute respiratory distress syndrome, arterial oxygen monitoring, cyclical atelectasis, fibreoptic sensor,
- MeSH
- kyslík krev MeSH
- modely nemocí na zvířatech MeSH
- prasata MeSH
- syndrom dechové tísně krev MeSH
- technologie optických vláken MeSH
- zvířata MeSH
- Check Tag
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- kyslík MeSH
BACKGROUND: There is considerable interest in oxygen partial pressure (Po2) monitoring in physiology, and in tracking Po2 changes dynamically when it varies rapidly. For example, arterial Po2 ([Formula: see text]) can vary within the respiratory cycle in cyclical atelectasis (CA), where [Formula: see text] is thought to increase and decrease during inspiration and expiration, respectively. A sensor that detects these [Formula: see text] oscillations could become a useful diagnostic tool of CA during acute respiratory distress syndrome (ARDS). METHODS: We developed a fibreoptic Po2 sensor (<200 µm diameter), suitable for human use, that has a fast response time, and can measure Po2 continuously in blood. By altering the inspired fraction of oxygen ([Formula: see text]) from 21 to 100% in four healthy animal models, we determined the linearity of the sensor's signal over a wide range of [Formula: see text] values in vivo. We also hypothesized that the sensor could measure rapid intra-breath [Formula: see text] oscillations in a large animal model of ARDS. RESULTS: In the healthy animal models, [Formula: see text] responses to changes in [Formula: see text] were in agreement with conventional intermittent blood-gas analysis (n=39) for a wide range of [Formula: see text] values, from 10 to 73 kPa. In the animal lavage model of CA, the sensor detected [Formula: see text] oscillations, also at clinically relevant [Formula: see text] levels close to 9 kPa. CONCLUSIONS: We conclude that these fibreoptic [Formula: see text] sensors have the potential to become a diagnostic tool for CA in ARDS.
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Bergman NA. Cyclic variations in blood oxygenation with the respiratory cycle. Anesthesiology. 1961;22:900–8. PubMed
Folgering H, Smolders FDJ, Kreuzer F. Respiratory oscillations of the arterial PO2 and their effects on the ventilatory controlling system in the cat. Pflugers Arch. 1978;375:1–7. PubMed
Purves MJ. Fluctuations of arterial oxygen tension which have the same period as respiration. Respir Physiol. 1966;1:281–96. PubMed
Purves MJ. Communications. J Physiol. 1965;176:7–8P.
Albert RK. The role of ventilation-induced surfactant dysfunction and atelectasis in causing acute respiratory distress syndrome. Am J Respir Crit Care Med. 2012;185:702–8. PubMed
Baumgardner JE, Markstaller K, Pfeiffer B, Doebrich M, Otto CM. Effects of respiratory rate, plateau pressure, and positive end-expiratory pressure on PaO2 oscillations after saline lavage. Am J Respir Crit Care Med. 2002;166:1556–62. PubMed
Williams EM, Viale JP, Hamilton RM, McPeak H, Sutton L, Hahn CE. Within-breath arterial PO2 oscillations in an experimental model of acute respiratory distress syndrome. Br J Anaesth. 2000;85:456–9. PubMed
Hedenstierna G, Frostell C. Animal models for the study of pulmonary edema. In: Hoosier JHaGLV., editor. Handbook of Laboratory Animal Science. Boca Raton, FL: CRC Press; 2004. pp. 289–300.
Hedenstierna G, Nyman G, Frostell C. Animal models of lung physiology during anesthesia. In: Hoosier JHaGLV., editor. Handbook of Laboratory Animal Science. Boca Raton, FL: CRC Press; 2004. pp. 263–87.
Bodenstein M, Wang H, Boehme S, et al. Observation of ventilation-induced Spo2 oscillations in pigs: first step to noninvasive detection of cyclic recruitment of atelectasis? Exp Lung Res. 2010;36:270–6. PubMed
Klein KU, Hartmann EK, Boehme S, et al. PaO2 oscillations caused by cyclic alveolar recruitment can be monitored in pig buccal mucosa microcirculation. Acta Anaesthesiol Scand. 2013;57:320–5. PubMed
Shi C, Boehme S, Hartmann EK, Markstaller K. Novel technologies to detect atelectotrauma in the injured lung. Exp Lung Res. 2011;37:18–25. PubMed
Pfeiffer B, Syring RS, Markstaller K, Otto CM, Baumgardner JE. The implications of arterial Po2 oscillations for conventional arterial blood gas analysis. Anesth Analg. 2006;102:1758–64. PubMed
Yasbin RE, Matthews CR, Clarke MJ. Mutagenic and toxic effects of ruthenium. Chem Biol Interact. 1980;31:355–65. PubMed
Baumgardner JE, Otto CM, Markstaller K. Large changes in PaO2 oscillation amplitude with respiratory rate are not measurement artifact. Respir Physiol Neurobiol. 2014;195:59. PubMed
Formenti F, Farmery AD, Hahn CE. Response to Baumgardner et al. Respir Physiol Neurobiol. 2014;196C:38. PubMed
Formenti F, Chen R, McPeak H, Matejovic M, Farmery AD, Hahn CE. A fibre optic oxygen sensor that detects rapid PO2 changes under simulated conditions of cyclical atelectasis in vitro. Respir Physiol Neurobiol. 2014;191:1–8. PubMed PMC
Chen R, Farmery AD, Obeid A, Hahn CEW. A cylindrical-core fiber-optic oxygen sensor based on fluorescence quenching of a platinum complex immobilized in a polymer matrix. IEEE Sensors J. 2012;12:71–5.
Chen R, Formenti F, Obeid A, Hahn CE, Farmery AD. A fibre-optic oxygen sensor for monitoring human breathing. Physiol Meas. 2013;34:N71–81. PubMed
Saied A, Edgington L, Gale L, et al. Design of a test system for fast time response fibre optic oxygen sensors. Physiol Meas. 2010;31:N25–33. PubMed
Syring RS, Otto CM, Spivack RE, Markstaller K, Baumgardner JE. Maintenance of end-expiratory recruitment with increased respiratory rate after saline-lavage lung injury. J Appl Physiol. 2007;102:331–9. PubMed
Hartmann EK, Boehme S, Bentley A, et al. Influence of respiratory rate and end-expiratory pressure variation on cyclic alveolar recruitment in an experimental lung injury model. Crit Care. 2012;16:R8. PubMed PMC
Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307–10. PubMed
Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res. 1999;8:135–60. PubMed
Altman DG, Bland JM. Measurement in medicine—the analysis of method comparison studies. Statistician. 1983;32:307–17.
Herweling A, Karmrodt J, Stepniak A, et al. A novel technique to follow fast PaO2 variations during experimental CPR. Resuscitation. 2005;65:71–8. PubMed
Klein KU, Boehme S, Hartmann EK, et al. Transmission of arterial oxygen partial pressure oscillations to the cerebral microcirculation in a porcine model of acute lung injury caused by cyclic recruitment and derecruitment. Br J Anaesth. 2013;110:266–73. PubMed
Borges JB, Costa EL, Suarez-Sipmann F, et al. Early inflammation mainly affects normally and poorly aerated lung in experimental ventilator-induced lung injury. Crit Care Med. 2014;42:e279–87. PubMed
Derosa S, Borges JB, Segelsjo M, et al. Reabsorption atelectasis in a porcine model of ARDS: regional and temporal effects of airway closure, oxygen, and distending pressure. J Appl Physiol (1985) 2013;115:1464–73. PubMed
Markstaller K, Eberle B, Kauczor HU, et al. Temporal dynamics of lung aeration determined by dynamic CT in a porcine model of ARDS. Br J Anaesth. 2001;87:459–68. PubMed
Markstaller K, Kauczor HU, Weiler N, et al. Lung density distribution in dynamic CT correlates with oxygenation in ventilated pigs with lavage ARDS. Br J Anaesth. 2003;91:699–708. PubMed